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Artificial neural network derived myelin water fraction map with multi-echo gradient echo signal: brain development from infants to adults.
Hyun Gi Kim1, Jae Eun Song2, Dongyeob Han3, Jee Young Kim1, Se Won Oh1, and Dong-Hyun Kim2
1Radiology, The Catholic University of Korea, Seoul, Korea, Republic of, 2Yonsei University, Seoul, Korea, Republic of, 3Siemens Healthcare, Seoul, Korea, Republic of
Myelin water fraction (MWF) derived by an artificial neural network (ANN-MWF) and complex model fitting (CF-MWF) from 3D multi-echo gradient-echo (mGRE) signal showed high agreement. ANN-MWF map showed developmental growth curve pattern according to age. 
ANN and CF derived MWF maps in children.
Linear regression between the ANN-MWF and CF-MWF values.